Doing Linguistics With A Corpus
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Doing Corpus Linguistics
Author | : William Crawford,Eniko Csomay |
Publsiher | : Routledge |
Total Pages | : 178 |
Release | : 2015-09-25 |
Genre | : Language Arts & Disciplines |
ISBN | : 9781317688068 |
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Doing Corpus Linguistics offers a practical step-by-step introduction to corpus linguistics, making use of widely available corpora and of a register analysis-based theoretical framework to provide students in Applied Linguistics and TESOL with the understanding and skills necessary to meaningfully analyze corpora and carry out successful corpus-based research. Divided into three parts – Introduction to Doing Corpus Linguistics and Register Analysis; Searches in Available Corpora; and Building Your Own Corpus, Analyzing Your Quantitative Results, and Making Sense of Data – the book emphasizes hands-on experience with performing language analysis research and in interpreting findings in a meaningful and engaging way. Readers are given multiple opportunities to analyze and apply language data by completing smaller tasks and corpus projects using publicly available corpora. The book also takes readers through the process of building a specialized corpus designed to answer a specific research question and provides detailed information on completing a final research project that includes both a written paper and an oral presentation of their specific research projects. Doing Corpus Linguistics provides students in applied linguistics and TESOL with the opportunity to gain proficiency in the technical and interpretive aspects of corpus research and to encourage them to participate in the growing field of corpus linguistics.
Doing Linguistics with a Corpus
Author | : Jesse Egbert,Tove Larsson,Douglas Biber |
Publsiher | : Cambridge University Press |
Total Pages | : 75 |
Release | : 2020-11-12 |
Genre | : Language Arts & Disciplines |
ISBN | : 1108744850 |
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Paradoxically, doing corpus linguistics is both easier and harder than it has ever been before. On the one hand, it is easier because we have access to more existing corpora, more corpus analysis software tools, and more statistical methods than ever before. On the other hand, reliance on these existing corpora and corpus linguistic methods can potentially create layers of distance between the researcher and the language in a corpus, making it a challenge to do linguistics with a corpus. The goal of this Element is to explore ways for us to improve how we approach linguistic research questions with quantitative corpus data. We introduce and illustrate the major steps in the research process, including how to: select and evaluate corpora, establish linguistically-motivated research questions, observational units and variables, select linguistically interpretable variables, understand and evaluate existing corpus software tools, adopt minimally sufficient statistical methods, and qualitatively interpret quantitative findings.
Doing Corpus Linguistics
Author | : Eniko Csomay,William J. Crawford |
Publsiher | : Taylor & Francis |
Total Pages | : 191 |
Release | : 2024-02-28 |
Genre | : Language Arts & Disciplines |
ISBN | : 9781003836483 |
Download Doing Corpus Linguistics Book in PDF, Epub and Kindle
Doing Corpus Linguistics offers a practical step-by-step introduction to corpus linguistics, making use of widely available corpora and of a register analysis-based theoretical framework to provide students in applied linguistics and TESOL with the understanding and skills necessary to meaningfully analyze corpora and carry out successful corpus-based research. This second edition has been thoroughly revised and updated with fresh exercises, examples, and references, as well as an extensive list of English corpora around the world. It also provides more clarity around the approach used in the book, contains new sections on how to identify patterns in texts, and now covers Cohen’s statistical method. This practical and applied text emphasizes hands-on experience with performing language analysis research and interpreting findings in a meaningful and engaging way. Readers are given multiple opportunities to analyze language data by completing smaller tasks and corpus projects using publicly available corpora. The book also takes readers through the process of building a specialized corpus designed to answer a specific research question and offers detailed information on completing a final research project that includes both a written paper and an oral presentation of the reader’s specific research projects. Doing Corpus Linguistics provides students in applied linguistics and TESOL with the opportunity to gain proficiency in the technical and interpretive aspects of corpus research and to encourage them to participate in the growing field of corpus linguistics.
Corpus linguistics
Author | : Stefanowitsch, Anatol |
Publsiher | : Language Science Press |
Total Pages | : 510 |
Release | : 1996 |
Genre | : Language Arts & Disciplines |
ISBN | : 9783961102242 |
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Corpora are used widely in linguistics, but not always wisely. This book attempts to frame corpus linguistics systematically as a variant of the observational method. The first part introduces the reader to the general methodological discussions surrounding corpus data as well as the practice of doing corpus linguistics, including issues such as the scientific research cycle, research design, extraction of corpus data and statistical evaluation. The second part consists of a number of case studies from the main areas of corpus linguistics (lexical associations, morphology, grammar, text and metaphor), surveying the range of issues studied in corpus linguistics while at the same time showing how they fit into the methodology outlined in the first part.
Understanding Corpus Linguistics
Author | : Danielle Barth,Stefan Schnell |
Publsiher | : Routledge |
Total Pages | : 276 |
Release | : 2021-11-18 |
Genre | : Language Arts & Disciplines |
ISBN | : 9781000466751 |
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This textbook introduces the fundamental concepts and methods of corpus linguistics for students approaching this topic for the first time, putting specific emphasis on the enormous linguistic diversity represented by approximately 7,000 human languages and broadening the scope of current concerns in general corpus linguistics. Including a basic toolkit to help the reader investigate language in different usage contexts, this book: Shows the relevance of corpora to a range of linguistic areas from phonology to sociolinguistics and discourse Covers recent developments in the application of corpus linguistics to the study of understudied languages and linguistic typology Features exercises, short problems, and questions Includes examples from real studies in over 15 languages plus multilingual corpora Providing the necessary corpus linguistics skills to critically evaluate and replicate studies, this book is essential reading for anyone studying corpus linguistics.
The Routledge Handbook of Corpus Linguistics
Author | : Anne O'Keeffe,Michael McCarthy |
Publsiher | : Routledge |
Total Pages | : 1429 |
Release | : 2010-04-05 |
Genre | : Education |
ISBN | : 9781135153625 |
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The Routledge Handbook of Corpus Linguistics provides a timely overview of a dynamic and rapidly growing area with a widely applied methodology. Through the electronic analysis of large bodies of text, corpus linguistics demonstrates and supports linguistic statements and assumptions. In recent years it has seen an ever-widening application in a variety of fields: computational linguistics, discourse analysis, forensic linguistics, pragmatics and translation studies. Bringing together experts in the key areas of development and change, the handbook is structured around six themes which take the reader through building and designing a corpus to using a corpus to study literature and translation. A comprehensive introduction covers the historical development of the field and its growing influence and application in other areas. Structured around five headings for ease of reference, each contribution includes further reading sections with three to five key texts highlighted and annotated to facilitate further exploration of the topics. The Routledge Handbook of Corpus Linguistics is the ideal resource for advanced undergraduates and postgraduates.
Corpus Linguistics and Statistics with R
Author | : Guillaume Desagulier |
Publsiher | : Springer |
Total Pages | : 353 |
Release | : 2017-11-17 |
Genre | : Computers |
ISBN | : 9783319645728 |
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This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. This book presents much of the methodology in a corpus-based approach. However, the corpus-based methods in this book are also essential components of recent developments in sociolinguistics, historical linguistics, computational linguistics, and psycholinguistics. Material from the book will also be appealing to researchers in digital humanities and the many non-linguistic fields that use textual data analysis and text-based sensorimetrics. Chapters cover topics including corpus processing, frequencing data, and clustering methods. Case studies illustrate each chapter with accompanying data sets, R code, and exercises for use by readers. This book may be used in advanced undergraduate courses, graduate courses, and self-study.
Statistics in Corpus Linguistics
Author | : Vaclav Brezina |
Publsiher | : Cambridge University Press |
Total Pages | : 317 |
Release | : 2018-09-20 |
Genre | : Foreign Language Study |
ISBN | : 9781107125704 |
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A comprehensive and accessible introduction to statistics in corpus linguistics, covering multiple techniques of quantitative language analysis and data visualisation.